jackc/pgx

Features

• PostgreSQL Connectors - Provides a high-performance driver for establishing native binary protocol connections to PostgreSQL databases.
• Connection Pool Managers - Maintains a persistent set of active database connections to reduce the latency cost of establishing new sessions for every request.
• Relational Database Drivers - Provides robust database interfaces and connection pools for interacting with relational data stores.
• Backend Data Access Layers - Implements reliable data persistence layers in Go services by mapping database rows to application structures.
• Binary Protocol Implementations - Communicates directly with the database using the binary wire protocol to minimize overhead and maximize data transfer efficiency.
• Type-Safe Database Clients - Transforms raw database result sets into strongly typed language structures using reflection or code generation.
• Database Interfaces - Implements a low-level interface for executing SQL queries and managing transactions in Go applications.
• Prepared Statement Engines - Stores pre-compiled query plans on the database server to accelerate execution times for frequently repeated operations.
• Database Performance Optimizers - Optimizes database communication by leveraging low-level protocol features to reduce latency and improve throughput.
• Database Transactions - Coordinates the lifecycle of database transactions by tracking state transitions and ensuring atomic execution.
• Query Builders - Provides a fluent, programmatic interface for constructing database queries while ensuring type safety and security.
• Type-Safe Query Builders - Provides a toolkit for constructing complex SQL statements and mapping database rows to strongly typed Go structures.
• Database Drivers - PostgreSQL driver with advanced feature support.
• Databases and Storage - PostgreSQL driver and toolkit.
• Database Drivers - Go database driver.
• Cursor-Based Pagination - Requests large data sets in sequential chunks by passing opaque identifiers to the server to retrieve subsequent pages.
• Data Query Filters - Applies boolean logic to query parameters to narrow down returned data sets based on specific field values.
• Pagination - Requests multi-page data sets by using tokens to fetch subsequent segments of a response until all items are collected.
• Schema-Aware Retrieval - Structures API responses based on predefined field definitions to ensure consistent access to documentation and version history.
• Package Metadata Querying - Fetches detailed information about a specific package including documentation, dependency imports, and license data.
• Module Metadata Retrievers - Fetches high-level information about a module including its repository location and version history.

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